Artificial intelligence development requires a human-centered framework to ensure technology serves humanity rather than competing with it. Fei-Fei Li, often called the "godmother of AI," traces her path from a childhood fascination with physics to the pivotal creation of ImageNet. By curating a massive visual dataset, she demonstrated that data-centric approaches could trigger a paradigm shift in machine learning. This work highlights the necessity of integrating ethical considerations and interdisciplinary research into AI curriculum and policy. Recognizing that AI is a tool, not an autonomous agent, remains critical for responsible governance. Promoting diversity among those who build and deploy these systems ensures that the future of technology reflects the needs and values of all people, rather than a narrow demographic.
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